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Point clouds simplifying system and method

A point cloud simplification and point cloud technology, which is applied in image data processing, instruments, computer components, etc., can solve the problems of unguaranteed accuracy, low efficiency, and easy loss of details, etc., and achieves simple methods, high efficiency, and high calculation speed fast effect

Inactive Publication Date: 2015-07-22
HONG FU JIN PRECISION IND (SHENZHEN) CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Random methods are easy to lose detailed features, and traditional bounding box methods are inefficient and cannot guarantee accuracy. These methods are only suitable for simple models, and the effect is not ideal for point clouds with large amounts of data and splicing after 3D scanning

Method used

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  • Point clouds simplifying system and method
  • Point clouds simplifying system and method
  • Point clouds simplifying system and method

Examples

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Embodiment Construction

[0015] see figure 1 As shown, it is a schematic diagram of the hardware architecture of a preferred embodiment of the point cloud reduction system of the present invention. The point cloud reduction system 10 of the present invention is installed and run on the computing device 1 . The computing device 1 may be an electronic device with a data processing function such as a computer. The computing device 1 further includes a storage device 11 , a processor 12 , and a display device 13 .

[0016] The point cloud reduction system 10 includes a plurality of functional modules composed of program segments (see details for details). figure 2 ) for automatic point cloud reduction based on the scale required by the user.

[0017] The storage device 11 is used to store the program codes of each program segment in the point cloud reduction system 10 . The storage device 11 may be a storage device such as a smart media card (smart media card), a secure digital card (secure digital c...

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Abstract

In a point cloud reduction method, a point cloud model and a predetermined reduction ratio are received, and a boundary box of the point cloud model is computed and divided into a plurality of grids according to the predetermined reduction ratio. A point set which includes points in the one or more adjacent grids is obtained and a plane which intersects with a center point of the point set and takes a feature vector of the point set as a normal vector is constructed. A curvature of each point in the point set to the constructed plane is computed, and then an average curvature is computed according to the curvature of each point. Points can be deleted from the point set according to differences between the curvatures of the points in the point cloud model with the average curvature, to generate a reduced point cloud model.

Description

technical field [0001] The present invention relates to a data processing system and method, in particular to a point cloud reduction system and method. Background technique [0002] The point cloud after multi-view measurement, point cloud splicing, point cloud repair, etc. is very dense. Such point cloud will not only slow down the computer's running speed, but also affect the processing efficiency. Smoothness, especially where the spliced ​​point clouds overlap, the point cloud density is higher than elsewhere. Therefore, it is necessary to remove part of the point cloud to make the density of the point cloud uniform. The most ideal effect of reduction is that the reduced point cloud has a smaller number without losing the surface details of the object. [0003] The existing point cloud reduction methods are mainly through random, bounding box and other methods. Random methods are easy to lose detailed features, and traditional bounding box methods are inefficient and ...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T3/40G06T7/00
CPCG06K9/52G06T11/20G06K9/46G06K2009/4666G06K9/4604G06T17/10G06T2210/56
Inventor 张旨光吴新元谢鹏
Owner HONG FU JIN PRECISION IND (SHENZHEN) CO LTD
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